SEC EDGAR Scraper — 10-K/10-Q Filings & XBRL Data

SEC EDGAR Filings Scraper — Financial Reports & XBRL Data

Used by quant analysts building financial factor databases, compliance officers monitoring 8-K filings for material events, and AI agents answering questions like "What was Apple's revenue in Q3 2023?"

Scrape SEC EDGAR company filings (10-K, 10-Q, 8-K, and more), structured XBRL financial facts (Assets, Revenue, Net Income, 500+ concepts), and perform full-text search across all SEC filing text — all via the official SEC JSON APIs. No proxy needed. No authentication required.

$2.00/1K filing records · $5.00/1K XBRL financial facts · $3.00/1K full-text search hits. First 10 results free per mode. No subscription needed. Official SEC data. 500+ XBRL financial concepts. Zero proxy cost.

What you can do

• Get all 10-K/10-Q/8-K filings for any US public company by ticker symbol (AAPL, MSFT, TSLA) or CIK number
• Extract structured financial data (XBRL): Assets, Revenues, Net Income, EPS, LongTermDebt, and 500+ other GAAP concepts — one row per reporting period
• Full-text search across all SEC filings to find companies mentioning specific topics (e.g. "climate risk", "supply chain disruption", "artificial intelligence")

Quick start

Scrape Apple and Microsoft annual/quarterly reports:

{
  "mode": "filings",
  "tickers": ["AAPL", "MSFT"],
  "formTypes": ["10-K", "10-Q"],
  "maxItems": 20
}

Get Apple's financial facts (Assets, Revenue, Net Income):

{
  "mode": "companyFacts",
  "tickers": ["AAPL"],
  "concepts": ["Assets", "Revenues", "NetIncomeLoss"]
}

Search for 10-K filings mentioning "climate risk":

{
  "mode": "searchFilings",
  "searchQueries": ["climate risk"],
  "formTypes": ["10-K"],
  "maxItems": 100
}

Output schema

Each result contains:

Field	Type	Description
cik	string	10-digit zero-padded SEC CIK
company_name	string	Company name from SEC
ticker	string	Stock ticker (e.g. "AAPL")
form_type	string	SEC form type (10-K, 10-Q, 8-K, etc.)
filing_date	string	Date filed (ISO: YYYY-MM-DD)
accession_number	string	Unique filing ID with dashes
primary_document	string	Main filing document filename
report_date	string	Period covered (ISO: YYYY-MM-DD)
filing_url	string	Direct HTTPS URL to the filing document
items	array	Form items listed (e.g. ["1A", "7A"] for 8-K)
parse_confidence	float	Data quality score (0.0–1.0; 1.0 = all fields present)
warnings	array	List of quality warning codes

For companyFacts mode, additional fields: concept, label, namespace, unit, value, period_end, fiscal_year, fiscal_period, frame.

For searchFilings mode, additional fields: query, file_description.

Why this scraper?

• Official SEC APIs — not HTML scraping. Zero fragility. No class-name changes break it.
• Ticker→CIK auto-lookup — just provide AAPL, MSFT, TSLA; no need to look up CIK numbers manually
• Direct filing URLs — each row includes the full HTTPS URL to the primary filing document (10-K PDF/HTML)
• parse_confidence field — machine-readable quality score in every row (unique to this actor)
• Zero proxy cost — SEC APIs are public and accessible from anywhere
• XBRL structured data — 500+ financial concepts extracted as clean rows (no parsing required)

Common form types

Form	Description
10-K	Annual report (comprehensive financial statements)
10-Q	Quarterly report (financial statements)
8-K	Current report (material events: earnings, mergers, leadership changes)
DEF 14A	Proxy statement (shareholder meeting, executive compensation)
S-1	IPO registration statement
4	Insider trading report
13F	Institutional investment manager holdings

Rate limits and fair use

The SEC Fair-Access Policy requires a descriptive User-Agent header on every request (included automatically). The SEC allows up to 10 requests/second. This actor stays well below that limit with built-in throttling.

Pricing

Pay-per-result (PPE) — charged per item returned, not per run:

Mode	Event	Rate	Example
filings	filing-item	$2.00/1K	1,000 10-K records = $2.00
companyFacts	xbrl-facts-record	$5.00/1K	500 XBRL concept rows = $2.50
searchFilings	search-hit	$3.00/1K	200 full-text hits = $0.60

First 10 results free per mode. Compute time billed separately to your Apify account.

Worked examples:

• 5 tickers × 10 years of 10-Q filings (40 rows each) = 200 records = $0.40
• Apple financials, 3 XBRL concepts × 20 quarters = 60 rows = $0.30
• Full-text search "climate risk" in 10-K filings, 500 hits = $1.50

FAQ

Do I need an API key or proxy? No. The SEC EDGAR APIs are fully public — no authentication, no proxy, no signup. This actor includes the required SEC-compliant User-Agent header automatically.

What ticker symbols work? Any US exchange ticker (NYSE, NASDAQ, etc.). The actor auto-resolves tickers to CIK numbers using the SEC's official company_tickers.json. For private companies or foreign filers, provide a CIK directly.

What output formats are available? JSON, CSV, Excel — download from the Apify dataset. filing_url links directly to the SEC EDGAR filing document.

What if a ticker isn't found? The record is logged as failed and the run continues. Check that the ticker is a current US exchange listing — delisted tickers may not resolve.

vs. Competitors

Feature	This Actor	Financial data vendors
Data source	Official SEC EDGAR API	Vendor aggregation
Auth required	No	Paid subscription
Ticker → CIK auto-resolve	Yes	Usually
XBRL structured data	500+ concepts	Varies
Full-text filing search	Yes (EFTS)	Rare/expensive
parse_confidence	Yes	No
Cost	$2-5/1K	$50-200/1K typical

Use with AI agents (MCP)

An agent calls this tool to look up SEC filings, financial facts, and full-text filing search mid-conversation — e.g. "Get Apple's net income for the last 5 years", "Find all 8-K filings for TSLA in 2024", or "Search 10-K filings mentioning 'climate risk'."

Point your MCP client at this tool:

{
  "mcpServers": {
    "apify": {
      "command": "npx",
      "args": [
        "mcp-remote",
        "https://mcp.apify.com/?tools=bovi/sec-edgar-scraper",
        "--header",
        "Authorization: Bearer <YOUR_APIFY_TOKEN>"
      ]
    }
  }
}

Minimal agent input (XBRL financial facts):

{
  "mode": "companyFacts",
  "tickers": ["AAPL"],
  "concepts": ["Assets", "Revenues", "NetIncomeLoss"]
}

Integrations

Built for quant analysts, fintech builders, and compliance teams extracting structured financials and filings from public companies — the JSON/dataset output drops into the tools you already run, no glue code:

• n8n / Make / Zapier — trigger a run or pipe every new dataset item into 500+ apps (Google Sheets, Airtable, Slack, HubSpot, your database) with no code: n8n, Make, Zapier.
• Webhooks — fire your own endpoint the moment a run finishes, to push results straight into your pipeline (docs).
• MCP server — expose this actor as a tool to Claude, Cursor, or any MCP client so an AI agent can pull this data mid-conversation (guide).
• API & SDKs — fetch the dataset as JSON, CSV, or Excel through the Apify REST API or the Python / JS SDKs.

See all Apify integrations.

Legal notice

This actor accesses publicly available SEC EDGAR data as permitted by the Securities Exchange Act. EDGAR is a public service of the U.S. Securities and Exchange Commission. This actor is not affiliated with or endorsed by the SEC.